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qwen/qwen3.8-27b

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Excellent

Aug 18, 2026 · Apple M4 Max

gemma3n:latest

OLLAMA GGUF

gemma3n · 6.9B · Q4_K_M

Excellent

Mar 6, 2026 · AMD EPYC 9654P 96-Core Processor

Global Score
87 vs 81
Hardware Fit
83 vs 100
Quality Score
88 vs 73

Hardware

qwen/qwen3.8-27b gemma3n:latest
MachineMacBook ProSupermicro AS -2015HS-TNR
CPUApple M4 MaxAMD EPYC 9654P 96-Core Processor
Cores1664
RAM128 GB128 GB
GPUApple M4 MaxGH100 [H100L 94GB], ASPEED Graphics Family, GH100 [H100L 94GB]
OSmacOS 26.5.2Ubuntu 24.04.3 LTS
Archarm64x64
Power Modebalancedperformance

Performance

qwen/qwen3.8-27b gemma3n:latest
Tokens/sec29.1108.7
First chunk9 ms333 ms
TTFT650 ms333 ms
Load timeN/A4.5 s
Memory usage21.0 GB8.6 GB
Memory %16%7%

HW Fit Score Breakdown

qwen/qwen3.8-27b

Speed
33/50
TTFT
20/20
Memory
30/30

gemma3n:latest

Speed
50/50
TTFT
20/20
Memory
30/30

Quality

qwen/qwen3.8-27b

Reasoning
18/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

gemma3n:latest

Reasoning
14/20
Coding
14/20
Instruction
14/20
Structured
14/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest